A prototype-based rule inference system incorporating linear functions

DOI10.1016/j.fss.2010.05.002zbMath1207.68392OpenAlexW2060551329MaRDI QIDQ622054

Yongchuan Tang, Jonathan Lawry

Publication date: 31 January 2011

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.fss.2010.05.002

zbMATH Keywords

clustering algorithmfuzzy set theoryappropriateness measuresprototype theoryprototype-based rulesrandom set theoryrule learning

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (4)

A bipolar model of vague concepts based on random set and prototype theory ⋮ Multi-source information fusion model in rule-based Gaussian-shaped fuzzy control inference system incorporating Gaussian density function ⋮ Signatures: definitions, operators and applications to fuzzy modelling ⋮ Information cells and information cell mixture models for concept modelling

Uses Software

• LFOIL
• TDSL
• ANFIS
• TSDL

Cites Work

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• Decision tree learning with fuzzy labels
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• Fuzzy identification of systems and its applications to modeling and control
• An experiment in linguistic synthesis with a fuzzy logic controller
• From computing with numbers to computing with words. From manipulation of measurements to manipulation of perceptions
• A methodology for computing with words

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